Top 10 Big Data Engineer Skills

Top 10 Big Data Engineer Skills

By ResumeKraft

Big data engineers typically have a strong background in computer science and experience with big data technologies

Hadoop is an open-source software framework for storing and processing big data. It is scalable and can be used on commodity hardware.

1. Hadoop

Spark is an open-source big data processing framework. It is fast and can be used for both batch and real-time processing.

2. Spark

NoSQL databases are used for storing and processing big data. They are scalable and can handle large amounts of data.

3. NoSQL databases

Java is a programming language that is used for developing big data applications.

4. Java

MapReduce is a programming model for processing big data. It is used to process large amounts of data in a parallel and distributed manner.

5. MapReduce

Pig is a big data processing platform that is used for data analysis and manipulation.

6. Pig

Hive is a data warehouse system that is used for storing and querying big data.

7. Hive

Sqoop is a tool that is used for transferring data between Hadoop and relational databases.

8. Sqoop

Flume is a tool that is used for collecting, aggregating, and transferring big data.

9. Flume

Oozie is a workflow scheduler that is used for managing big data jobs.

10. Oozie

Job-winning Resume Sample

Click below to edit & download

Check out related topics for more information.

Need more help?

Thick Brush Stroke